| Literature DB >> 32517450 |
Yuequn Niu1, Sha Huang1, Zhou An1, Jie Tang1, Wang Lv1, Jian Hu1.
Abstract
BACKGROUND: Airway stents are used to treat central airway stenosis or tracheal fistula caused by a variety of malignant and benign tracheal diseases as well as iatrogenic procedures. Airway stent placement has a satisfying effect in instantly relieving of symptoms, but the long-term survival of patients still depends on the individualized treatment of the primary diseases. Therefore, exploring the prognostic risk factors of patients who received airway stent placement can be beneficial to the optimization of the placement procedure and also the improvement of individualized clinical management of patients.Entities:
Keywords: Airway stent; Charlson comorbidity index; Procedure duration; Prognosis
Mesh:
Year: 2020 PMID: 32517450 PMCID: PMC7309558 DOI: 10.3779/j.issn.1009-3419.2020.104.04
Source DB: PubMed Journal: Zhongguo Fei Ai Za Zhi ISSN: 1009-3419
1生存曲线。基础CCI评分(A)与操作时间(B)对气管支架置入患者总体生存率的影响。
Survival plots. The effects of baseline CCI (A) and procedure duration (B) on the overall survival of patients receiving airway stent placement.
单因素Cox分析气管支架置入预后风险因子
Univariate Cox regression analysis for airway stent placement
| Risk factor | HR | 95%CI | |
| CCI: Charlson comorbidity index. | |||
| Age | 0.987 | 0.939-1.038 | 0.610 |
| Gender (Female | 0.600 | 0.178-2.030 | 0.412 |
| CCI score | 1.266 | 1.014-1.581 | 0.037 |
| Procedure duration (≤60 min | 0.350 | 0.124-0.985 | 0.047 |
多因素Cox分析气管支架置入预后风险因子
Multivariate Cox regression analysis for airway stent placement
| Risk factor | HR | 95%CI | |
| Age | 1.001 | 0.945-1.061 | 0.960 |
| Gender (Female | 1.030 | 0.267-3.967 | 0.966 |
| CCI score | 1.561 | 1.090-2.238 | 0.015 |
| Procedure duration (≤60 min | 0.127 | 0.023-0.703 | 0.018 |
2气管支架置入患者预后的列线图预测模型
Prognostic nomogram for prediction of overall survival of patients receiving airway stent placement.
3由CCI和操作时间构成的预测模型与由年龄和性别构成的预测模型的ROC曲线对比
Comparison between the prediction model of CCI plus procedure duration and the prediction model of age plus gender. ROC: receiver operating characteristic curve.